"A quantity that has both size and direction"? But what is 'size' or 'direction'? In fact, any vector is an element of a vectors space, which is not any tautology.
Topics
About: high school mathematics
The table of contents of this article
- Starting Context
- Target Context
- Orientation
- Main Body
- 1: A Vector Is "a Quantity That Has Both Size and Direction"?
- 2: Enter 'Scalar Multiplication'!
- 3: Vector Is an Element of a Vectors Space
- 4: What 'Size' Really Means
- 5: How Is the Set of the n-Tuples of Real Numbers Related to a Vectors Space?
- 6: What Is the Dimension of a Vectors Space?
Starting Context
- The reader knows the background of this site.
Target Context
- The reader will know what a vector is.
Orientation
There is an article on becoming a benefactor of humanity by being a conduit of truths
There is an article on definition of set and Russel's "paradox".
Main Body
1: A Vector Is "a Quantity That Has Both Size and Direction"?
Special-Student-7-Hypothesizer
The most prevalent rough definition of 'vector' seems to be "any quantity that has both size and direction".
Special-Student-7-Rebutter
That is not any valid definition unless "size" and "direction" are defined.
Special-Student-7-Hypothesizer
'size' is ... a size, you know.
Special-Student-7-Rebutter
I do not know, actually.
What is 'size' of a book? The length?, the width?, the thickness?, the weight?, the number of pages?, the number of words?, the amount of the information contained in it?, the price?, or what? Or why cannot I just declare it to be 42?
Special-Student-7-Hypothesizer
I do not know why you cannot: if you define the size to be 42, the size should be 42.
Special-Student-7-Rebutter
Then, I do not understand what "has size" means, because anything can be regarded to "have size" by just our regarding it to have "size 42".
Special-Student-7-Hypothesizer
That seems true.
Special-Student-7-Rebutter
And what is 'direction'?
Special-Student-7-Hypothesizer
In the 3-dimensional space, you know what 'direction' is.
Special-Student-7-Rebutter
For the 3-dimensional space case, yes, I have some intuition, but that is not any general definition.
Special-Student-7-Hypothesizer
Well, when the quantity is a combination of 4 real numbers like (1.3, 2.5, 0.9, 4.2), the direction is the proportion of the 4 numbers: (1.3, 2.5, 0.9, 4.2) and (1.3 * 2, 2.5 * 2, 0.9 * 2, 4.2 * 2) have the same direction.
Special-Student-7-Rebutter
Is any vector always a combination of some real numbers?
Special-Student-7-Hypothesizer
That is not the case.
Special-Student-7-Rebutter
Then, that is just an example, not any general definition.
Special-Student-7-Hypothesizer
That is true.
2: Enter 'Scalar Multiplication'!
Special-Student-7-Hypothesizer
In fact, we need to introduce the concept of 'scalar multiplication' in order to begin to talk about 'direction'.
We introduce a scalars set, which is a field, and introduce a scalar multiplication, which means multiplying a vector by an element of the scalars set to get a vector.
Any field is, very roughly speaking, a structure that allows a set of arithmetic operations, (+, -, *, /), and a typical example is the real numbers set,
Just for the sake of simplicity, in this article, we will assume that the scalars set is always the real numbers set unless specified otherwise.
Any vector, v, can be multiplied by any real number, r, and the result is r v.
In the above example, v = (1.3, 2.5, 0.9, 4.2), r = 2, and r v = (1.3 * 2, 2.5 * 2, 0.9 * 2, 4.2 * 2).
And for any fixed v, r v with any r has the same direction.
On the other hand, for some 2 vectors, v and v', if there is no r such that v' = r v, v and v' have some different directions.
You can say that any direction is an equivalence class of vectors with respect to the equivalence relation, v ~ v' if and only if v = r v'.
Special-Student-7-Rebutter
When r < 0, do v and r v have the same direction?
Special-Student-7-Hypothesizer
Well, that is a matter of the definition of the word, and we can say that they have the same direction, while colloquially, they are usually said to have "opposite directions" (the problem of calling it "opposite directions" is that the scalars set is not necessarily the real numbers set and the scalars set does not have necessarily have the concept of "plus" or "minus").
3: Vector Is an Element of a Vectors Space
Special-Student-7-Rebutter
Anyway, a moral is that it is meaningless to talk about whether a single object has a direction by itself: we need to think of a space of objects on which a scalar multiplication is defined, and only by dividing the space into equivalence classes, the concept of direction arises.
Without 1st defining the space, we cannot talk about whether an object "has a direction", so, it is meaningless to talk about whether a single object is a vector by itself.
Special-Student-7-Hypothesizer
So, we say that any vector is an element of a vectors space.
Someone may say that that is a tautology, but no, we 1st define a space and call the space a vectors space, and then, an element of the space is called "vector".
A rigorous definition of vectors space is here.
Special-Student-7-Rebutter
The way of thinking is important, because it is prevalent in mathematics.
For example, mathematics talks about spaces (or called "structures") like groups, rings, fields, modules, etc., and a group element is an element of a group: it is meaningless to talk about a group element by itself.
The prevalent pattern is, we take a set and take some operations on the set with some rules, and the set with the operations is a space (structure).
'vectors space' is one of such spaces and a vector is an element of such a space.
4: What 'Size' Really Means
Special-Student-7-Rebutter
That rigorous definition does not mention 'size' at all.
Special-Student-7-Hypothesizer
In fact, a vector does not need to have any absolute size.
Special-Student-7-Rebutter
What do you mean by "absolute size"?
Special-Student-7-Hypothesizer
For a nonzero vector, v, and a positive scalar, r, the "size" of r v could be said to be r-times the "size" of v.
So, we could talk about the relative sizes of some 2 vectors in the same direction, but comparing the sizes of some 2 vectors in some different directions is not meaningful in general.
For example, think of a vectors space, in which any element is the tuple of the length (in cm) and the weight (in kg) of an object.
Special-Student-7-Rebutter
Strictly speaking, that is not any vectors space, because each negative scalar multiple of any vector must exist in the space.
Special-Student-7-Hypothesizer
Then, think of differences of 2 lengths and differences of 2 weights, which can be negative.
Special-Student-7-Rebutter
All right.
Special-Student-7-Hypothesizer
Is the size of a vector, (180, 70), meaningful?
Special-Student-7-Rebutter
I, personally, find it not so meaningful.
Special-Student-7-Hypothesizer
And which is larger between (185, 65) and (175, 75)?
Special-Student-7-Rebutter
Someone may say that (175, 75) < (185, 65) claiming that length is more important, another one may say that (185, 65) < (175, 75) claiming that weight is more important, and yet another one may compare between
Special-Student-7-Hypothesizer
Or while the set of at-most-n-degree real polynomials canonically constitutes a vectors space, what is the "size" of a polynomial?
Special-Student-7-Rebutter
You could define a "size", for example, as the square root of the sum of the squared coefficients, or as the absolute value of the n-degree coefficient, or as uniformly 42, why not?
Special-Student-7-Hypothesizer
A vector does not have any intrinsic "size" in general, even if we could compare the sizes of some 2 vectors in the same direction.
Special-Student-7-Rebutter
What if the scalars set is not the real numbers set?
Special-Student-7-Hypothesizer
Then, even talking about the relative sizes of some 2 vectors in the same direction may be meaningless.
Special-Student-7-Rebutter
Then, what does "any quantity that has both size and direction" mean?
Special-Student-7-Hypothesizer
"has size" seems to mean that a vector can be multiplied by scalars to become different vectors in the same direction.
Special-Student-7-Rebutter
There is the concept of 'norm' and you need to be careful not to confuse 'norm' with "size" meant in the meaning mentioned above.
Special-Student-7-Hypothesizer
In fact, "size" usually meant is really 'norm', but a vectors space does not need to be equipped with a norm.
I guess that "size" in "any quantity that has both size and direction" is prevalently understood as 'norm', but in that meaning, "vector is any quantity that has both size and direction" is wrong.
5: How Is the Set of the n-Tuples of Real Numbers Related to a Vectors Space?
Special-Student-7-Hypothesizer
Someone may think that any n-dimensional real vectors space is nothing but the set of the n-tuples of real numbers.
That is not exactly true, although any n-dimensional real vectors space can be represented by the set of the n-tuples of real numbers.
Special-Student-7-Rebutter
What does "be represented" mean?
Special-Student-7-Hypothesizer
Any n-dimensional real vectors space has a basis with some n elements,
"be represented" means that there is the 1-to-1 (bijective) linear mapping from the vectors space onto the set of the n-tuples of real numbers (technically, it is called that the vectors space is 'vectors spaces - linear morphisms' isomorphic to the set of the n-tuples of real numbers regarded as a vectors space).
Special-Student-7-Rebutter
Why does someone say as though any n-dimensional real vectors space is nothing but the set of the n-tuples of real numbers?
Special-Student-7-Hypothesizer
2 vectors spaces' being 'vectors spaces - linear morphisms' isomorphic means that the 2 vectors spaces have the same structure as vectors spaces, and the 2 vectors spaces can be handled in the same way as far as the vectors space operations are concerned.
Special-Student-7-Rebutter
"can be handled in the same way" does not mean that the 2 entities are the same entity.
Special-Student-7-Hypothesizer
Exactly, but some people like wordings like "the 2 spaces are the same", because probably those wordings bring about some labor-saving of expressions because expressions do not need to distinguish the 2 things, but at the core, we need to be aware that the 2 spaces are different.
For example, when we think of the change of the components of a vector with respect to a change of bases, unless you understand the existence of the vectors space independent of any representation, the concept would not make sense: as there is the vectors space independent of any representation, you return from a representation to the vectors space and go from the vectors space to another representation.
Not being able to distinguish between 'represented' and 'representation' seems a serious problem somehow prevalently seen.
6: What Is the Dimension of a Vectors Space?
Special-Student-7-Rebutter
While we have talked about "n-dimensional real vectors space", what is 'dimension' of a vectors space?
Special-Student-7-Hypothesizer
'dimension' of any vectors space is nothing but the number of the elements of any basis for the vectors space.
Special-Student-7-Rebutter
In the 1st place, does every vectors space have a basis?
Special-Student-7-Hypothesizer
In fact, if you do not conceive that question, you are not really learning mathematics.
And the answer is yes, although we do not show any proof here.
Special-Student-7-Rebutter
And do all the possible bases of a vectors space have the same number of elements?
Special-Student-7-Hypothesizer
Also that question is one that if you do not conceive, you are not really learning mathematics.
And the answer is yes, although we do not show any proof here.
Let us know that a vectors space may be infinite-dimensional.
Special-Student-7-Rebutter
What does that mean?
Special-Student-7-Hypothesizer
That of course means that the number of the elements of any basis for the vectors space is infinite, but note that that does not mean that a vector is expressed as an infinite linear combination of basis elements: any vector is expressed as a finite linear combination of basis elements.
Special-Student-7-Rebutter
Then, why does the basis need some infinite number of elements?
Special-Student-7-Hypothesizer
A vector is a linear combination of a set of some finite number of basis elements, another vector is a linear combination of another set of some finite number of basis elements, and in order for every vector to be a linear combination of its own set of some finite number of basis elements, the basis needs some infinite number of elements.
Special-Student-7-Rebutter
While usually the space around us is said to be 3-dimensional, does that mean that the space is a 3-dimensional vectors space?
Special-Student-7-Hypothesizer
Aside from the fact that the spacetime is said to be 4-dimensional, strictly speaking, no, the space is not any 3-dimensional vectors space, which is because the space is said to be bounded.
Special-Student-7-Rebutter
Ah, so, the dimension aside, the space is not even any vectors space.
Special-Student-7-Hypothesizer
The space (or the spacetime) is modeled as a manifold, and the dimension of manifold has another definition, although it is somehow related with dimension of vectors space.